No abstract

No abstract

Introduction Liver transplantation (LT) is a life‐saving treatment for end‐stage liver disease patients that requires significant resources. We used national data to evaluate LT outcomes and factors associated with hospital resource use. Methods Using the National Inpatient Sample, we identified all patients undergoing LT from 2009 to 2017 and defined high‐resource use (HRU) as having costs ≥ 90th percentile. Hierarchical regression models were used to assess factors associated with length of stay (LOS) and HRU. Results Over the study period, approximately 53,000 patients underwent LT, increasing from 5,582 in 2009 to 7,095 in 2017 (nptrend < 0.001). Morbidity and mortality were 42.2% and 3.9%, respectively, with a median post‐LT LOS of 10 days. Hospitalization costs increased from $106,866 to $145,868 (nptrend < 0.001). Acute kidney injury (β:4.7 days, P < .001) and end‐stage renal disease (ESRD) with dialysis (β:4.3 days, P < .001) were associated with greater LOS while the Northeast region (AOR:5.2, P < .001), ESRD with dialysis (AOR:3.4, P < .001), heart failure (AOR:2.5, P < .001), and fulminant liver disease (AOR:1.8, P = .01) were associated with HRU. Conclusion The cost of LT has increased over time. Renal dysfunction, regional practice patterns, and patient acuity were associated with greater resource use. Transplanting patients before health deterioration may help contain costs, mitigate resource use, and improve LT outcomes.

No abstract

No abstract

No abstract

No abstract

Background Frailty has been increasingly recognized as a risk factor for inferior surgical outcomes and greater resource use. The present study evaluated the impact of a coding-based frailty tool on outcomes of elective colectomy in a national cohort. Study Design Adults undergoing elective colectomy were identified in the 2016-17 Nationwide Readmissions Database. Frailty was defined using the Johns Hopkins 10-domain coding-based binary tool. Generalized linear models were used to examine the association of frailty with in-hospital mortality, nonhome discharge, hospitalization duration (LOS), and inflation-adjusted costs. Kaplan-Meier survival analysis and log-rank test was used to compare readmissions up to 1-year. Results Of 133 175 patients, 10.6% were considered frail. The most common resections were sigmoid (43.9%) and right (34.7%) while total colectomy was least common (2.8%). After adjustment, frailty was associated with greater odds of mortality (3.2, 95% CI 2.8-3.8) and nonhome discharge (6.0, 95% CI 5.5-6.4) as well as a $13,400-increment (95% CI 12,400-14,400) in costs and 4.4-day (95% CI 4.1-4.6) increase in LOS. Nonelective readmissions at 30 days were greater in frail than non-frail groups (14.7% vs. 10.4%, P < .001). Conclusion Frailty is associated with inferior clinical outcomes and increased resource use following elective colectomy. Inclusion of frailty in risk models may facilitate risk stratification and shared decision-making.